FPGAs Are the Hero In-Network Computing Needs

In-network computing has gained some traction recently with the advent of programmable switches in the datacenter, however, for widespread adoption as a general computing paradigm, more flexible deployment platforms are required. We argue that FPGAs, suitably virtualized, can serve such a role, covering the continuum from edge to cloud, addressing the key barrier of hardware deployability and flexibility for in-network computing. FPGAs offer orders of magnitude more efficient execution than general purpose CPUs and low overhead packet ingestion—and with the right hardware virtualization techniques, they can also be flexible. We propose to bring these capabilities together in a Stream-Oriented Hardware Offload paradigm supported on lightweight host-less FPGA platforms to enable In-Network Acceleration of present and emerging distributed applications.

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Publication Details

Published
2025-10-09
DOI
https://doi.org/10.1145/3725783.3764402
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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article

FPGAs Are the Hero In-Network Computing Needs

Yixi Chen, Suhaib A. Fahmy, Marco Canini, Zsolt István et al.
Software-Defined Networks and 5G
article

FPGAs Are the Hero In-Network Computing Needs

Yixi Chen, Suhaib A. Fahmy, Marco Canini, Zsolt István, Ziyi Yang, Gustavo Alonso
article en

Abstract

In-network computing has gained some traction recently with the advent of programmable switches in the datacenter, however, for widespread adoption as a general computing paradigm, more flexible deployment platforms are required. We argue that FPGAs, suitably virtualized, can serve such a role, covering the continuum from edge to cloud, addressing the key barrier of hardware deployability and flexibility for in-network computing. FPGAs offer orders of magnitude more efficient execution than general purpose CPUs and low overhead packet ingestion—and with the right hardware virtualization techniques, they can also be flexible. We propose to bring these capabilities together in a Stream-Oriented Hardware Offload paradigm supported on lightweight host-less FPGA platforms to enable In-Network Acceleration of present and emerging distributed applications.

Technische Universität Darmstadt (DE), ETH Zurich (CH), King Abdullah University of Science and Technology (SA)
Openalex Percentile: Top 67%
Software-Defined Networks and 5G
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FPGAs Are the Hero In-Network Computing Needs — Yixi Chen, Suhaib A. Fahmy, et al. · (2025) | TGRS Research Map | TGRS